US 2026/0229346 A1Published application

Healthcare AI SaaS platform optimizing patient management and drug safety

OwnerBrandy Giovanni Robinsoninventor

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Abstract

The invention provides a healthcare SaaS platform that integrates artificial intelligence (AI) tools with traditional patient case management systems to enhance patient care and safety. The platform enables healthcare professionals and patients to interact through functionalities such as adverse event reporting, appointment scheduling, secure messaging, video conferencing, and AI-driven medical data analysis. AI algorithms analyze medical research, safety reports, and clinical trial data, improving diagnostic accuracy and drug safety. The system also supports collaboration among healthcare teams and integrates with external APIs to streamline workflows. By delivering actionable insights and improving decision-making, the platform addresses challenges in patient safety, diagnostic delays, and fragmented information systems, promoting personalized care and better health outcomes.

Claims20

Dependent claims

A software platform for enhancing healthcare workflows through the integration of artificial intelligence-driven tools with traditional patient management systems, comprising:

A centralized server configured to communicate with user devices, external databases, and sensors over a communication network;
A web platform providing a secure, browser-based interface for healthcare professionals, administrators, patients, and other stakeholders to access features of the platform;
A mobile application that synchronizes with the web platform, allowing healthcare professionals and patients to access features of the platform on mobile devices;
A secure portal tailored for different user roles, including healthcare professionals, enterprises, and patients, offering features such as patient management, adverse event reporting, messaging, video conferencing, and access to AI-analyzed medical research;
An artificial intelligence system configured to analyze medical research, drug safety data, patient data, and prescription history to generate actionable insights and improve decision-making within healthcare workflows;
Integration with external databases, application programming interfaces (APIs), and third-party systems to retrieve medical research, safety reports, and clinical trial data, enhancing the platform's capabilities and ensuring comprehensive information access.

3 more elements

A method for streamlining healthcare workflows and improving patient outcomes through an integrated platform, comprising:

Enabling a healthcare professional or patient to access the system via a web platform or mobile application;
Logging the user into a secure portal tailored for healthcare professionals, enterprises, or patients;
Allowing healthcare professionals to input patient data, prescription history, and clinical notes into the system;
Enabling patients to manage appointments and communicate with healthcare providers through the patient portal;
Analyzing entered data, including medical research, drug safety information, and patient records, using artificial intelligence algorithms to identify patterns and trends;
Continuously refining the artificial intelligence analysis as additional data is entered into the system;
Enabling users to communicate through video conferencing, messaging, or discussion forums;
Allowing healthcare professionals to collaborate with colleagues or patients using integrated communication tools;
Enabling healthcare professionals to identify and report drug safety concerns using adverse event reporting tools;
Generating and presenting artificial intelligence-analyzed safety reports for review;
Securely storing all data in a centralized database accessible across all components of the system;
Allowing users to retrieve stored data for decision-making or patient care;
Interacting with external databases and application programming interfaces (APIs) to retrieve additional information, including clinical trial data and updated medical research;
Refining artificial intelligence algorithms based on newly added data to improve the accuracy of insights and recommendations over time;
Providing healthcare professionals with actionable insights to enable more accurate diagnoses and the development of personalized treatment plans;
Enhancing patient outcomes by improving communication, providing access to safety reports, and streamlining appointment management.

13 more elements

Dependencies are inferred from the claim text.

Facts

Application: 19/044,639Filed 4 Feb 2025
Published: 6 Aug 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification10 codes

G16H 40/20
ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or…:…
G16H 10/20
ICT specially adapted for the handling or processing of patient-related medical or healthcare data: for electronic clinical trials or questionnaires
G16H 10/60
ICT specially adapted for the handling or processing of patient-related medical or healthcare data: for patient-specific data, e.g. for electronic…
G16H 20/10
ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient…:…